This research paper investigates the integration of Internet of Things (IoT) data streams with
machine learning algorithms to enable predictive maintenance in industrial systems. As …

Now-a-days, the maintenance management of industrial equipment, particularly in the
aeronautical industry, has evolved into a substantial challenge and a critical concern for the …

Through the integration of data analytics and the Internet of Things (IoT), predictive
maintenance in Industry 4.0 has significantly improved how businesses maintain their assets …

Industry 4.0 has transformed traditional manufacturing processes by enabling real-time data
collection, analysis, and decision-making through the integration of Industrial Internet of …

This article explores the integration of IoT and machine learning for predictive maintenance
in manufacturing. The combined approach utilizes real-time data from IoT sensors to feed …

Predictive maintenance using machine learning is a powerful technique for industries
seeking to enhance their operations with minimize downtime. In an IoT-enabled Industry 4.0 …

With the proliferation of Industrial Internet of Things (IIoT) devices, there is an unprecedented
growth in the volume, velocity, and variety of data generated from diverse sources. This …

With the proliferation of Internet of Things (IoT) technology across various industries, the
concept of predictive maintenance has emerged as a crucial paradigm for ensuring the …

Optimizing maintenance procedures is essential in today's industrial settings to reduce
downtime and increase operational effectiveness. To improve predictive maintenance in …

Industrial Internet of Things (IIoT) enabled predictive analytics have enabled the
manufacturing sector to transition from reactive to proactive maintenance. This article …